Jones Lang Lasalle (JLL) Shares Repurchased (2020 - 2026)
Jones Lang Lasalle (JLL) recorded Shares Repurchased of $139.6 million in Q3 2026, up 98.6% from $70.3 million a year earlier and up 28.1% from the prior quarter.
Jones Lang Lasalle (JLL) Shares Repurchased (2020 - 2026) Analysis & Trends
On a TTM basis, Jones Lang Lasalle's Shares Repurchased came in at $629.9 million as of Sep 30, 2026, up 318.5% year-over-year; for FY2025, it came in at $211.5 million, up 162.1% from FY2024.
- Annual Shares Repurchased has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Across earlier years, Shares Repurchased came in at $80.7 million in FY2024 (+31.0%), $61.6 million in FY2023 (-89.8%), $601.2 million in FY2022 (+75.1%) and $343.3 million in FY2021 (+243.3%).
- Quarterly Shares Repurchased has ranged from $4.6 million in Q4 2022 to $300 million in Q1 2026 over the past five years.
- On a year-over-year basis, Shares Repurchased rose in five of the last seven quarters, with growth averaging 129.8%.
- Peak year-over-year performance for Shares Repurchased in the last five years was growth of 685.5% in Q2 2022, against a decline of 97.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $109 million (Q2 2026), $300 million (Q1 2026) and $81.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 218.00 Mn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | - |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 139.60 Mn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | - |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | - |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 14.80 Mn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 545,000.00 |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | - |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 27,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 139.60 Mn |
| Jun 30, 2026 | 109.00 Mn |
| Mar 31, 2026 | 300.00 Mn |
| Dec 31, 2025 | 81.30 Mn |
| Sep 30, 2025 | 70.30 Mn |
| Jun 30, 2025 | 40.20 Mn |
| Mar 31, 2025 | 19.70 Mn |
| Dec 31, 2024 | 20.30 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 20.40 Mn |
| Mar 31, 2024 | 20.00 Mn |
| Dec 31, 2023 | 22.20 Mn |
| Sep 30, 2023 | 19.90 Mn |
| Jun 30, 2023 | 19.50 Mn |
| Dec 31, 2022 | 4.60 Mn |
| Sep 30, 2022 | 148.90 Mn |
| Jun 30, 2022 | 297.70 Mn |
| Mar 31, 2022 | 150.00 Mn |
| Dec 31, 2021 | 153.80 Mn |
| Sep 30, 2021 | 151.60 Mn |
Jones Lang Lasalle Shares Repurchased API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-repurchased&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "ticker": "JLL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-repurchased&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();